Christos G. Xanthis
Christos G. Xanthis
Research Associate at Lund University, Department of Clinical Sciences Lund, Skane Univ. Hospital
Verifierad e-postadress på med.lu.se
TitelCiteras avÅr
Whole-heart four-dimensional flow can be acquired with preserved quality without respiratory gating, facilitating clinical use: a head-to-head comparison
M Kanski, J Töger, K Steding-Ehrenborg, C Xanthis, KM Bloch, E Heiberg, ...
BMC medical imaging 15 (1), 20, 2015
322015
MRISIMUL: A GPU-based Parallel Approach to MRI Simulations
C Xanthis, I Venetis, A Chalkias, A Aletras
IEEE Transactions on Medical Imaging 33 (3), 607-617, 2014
312014
Parallel Simulations for QUAntifying RElaxation Magnetic Resonance constants (SQUAREMR): An example towards accurate MOLLI T1 measurements
CG Xanthis, S Bidhult, G Kantasis, E Heiberg, H Arheden, AH Aletras
Journal of Cardiovascular Magnetic Resonance 17 (104), 2015
152015
High performance MRI simulations of motion on multi-GPU systems
CG Xanthis, IE Venetis, AH Aletras
Journal of Cardiovascular Magnetic Resonance 16 (48), 2014
142014
Inverse problem of ECG for different equivalent cardiac sources
CG Xanthis, PM Bonovas, GA Kyriacou
Piers Online 3 (8), 1222-1227, 2007
132007
Assessment of the limiting spatial resolution of an MRI scanner by direct analysis of the edge spread function
I Delakis, C Xanthis, RI Kitney
Medical physics 36 (5), 1637-1642, 2009
82009
Importance of standardizing timing of hematocrit measurement when using cardiovascular magnetic resonance to calculate myocardial extracellular volume (ECV) based on pre-and …
H Engblom, M Kanski, S Kopic, D Nordlund, CG Xanthis, R Jablonowski, ...
Journal of Cardiovascular Magnetic Resonance 20 (1), 46, 2018
72018
Simulation-based quantification of native T1 and T2 of the myocardium using a modified MOLLI scheme and the importance of Magnetization Transfer
CG Xanthis, S Bidhult, A Greiser, K Chow, RB Thompson, H Arheden, ...
Magnetic resonance imaging, 2018
62018
Validation of a new t2* algorithm and its uncertainty value for cardiac and liver iron load determination from MRI magnitude images
S Bidhult, CG Xanthis, LL Liljekvist, G Greil, E Nagel, AH Aletras, ...
Magnetic resonance in medicine 75 (4), 1717-1729, 2016
62016
Localization of an equivalent central cardiac electric dipole for electrocardiography applications
CG Xanthis, DG Drogoudis, PM Bonovas, D Mikroulis, GA Kyriacou
International Special Topic Conference on Information Technology in …, 2006
52006
Cloud GPU-based simulations for SQUAREMR
G Kantasis, CG Xanthis, K Haris, E Heiberg, AH Aletras
Journal of Magnetic Resonance 274, 80-88, 2017
32017
Comparison of short axis and long axis acquisitions of T1 and extracellular volume mapping using MOLLI and SASHA in patients with myocardial infarction and healthy volunteers
CG Xanthis, D Nordlund, R Jablonowski, H Arheden
BMC Medical Imaging 19 (1), 18, 2019
22019
Using a modified 3D-printer for mapping the magnetic field of RF coils designed for fetal and neonatal imaging
A Vavoulas, N Vaiopoulos, E Hedström, CG Xanthis, HG Sandalidis, ...
Journal of Magnetic Resonance 269, 146-151, 2016
22016
A new validated T2* analysis method with certainty estimates for cardiac and liver iron load determination
SL Bidhult, CG Xanthis, LL Liljekvist, GF Greil, E Nagel, AH Aletras, ...
Journal of Cardiovascular Magnetic Resonance 17 (Suppl 1), P52, 2015
22015
coreMRI: A high-performance, publicly available MR simulation platform on the cloud
CG Xanthis, AH Aletras
PLOS ONE 14 (5), e0216594, 2019
12019
Massively Parallel CUDA Simulations of Cardiac and Embryonic MRI on a Cloud-Based Cluster
G Kantasis, CG Xanthis, K Haris, AH Aletras
Computing in Cardiology, 42nd Annual Conference, Nice, France, 2015
12015
Whole-heart 4D flow can be acquired with preserved quality without respiratory gating facilitating clinical use
M Kanski, J Töger, K Steding-Ehrenborg, CG Xanthis, KM Bloch, ...
Journal of Cardiovascular Magnetic Resonance 17 (1), Q17, 2015
12015
Black-Blood CMR
H Engblom, CG Xanthis, SI Mavrogeni, SM Smart, AH Aletras
Basic Principles of Cardiovascular MRI, 161-166, 2015
12015
Artificially generated training data-sets for supervised Machine Learning techniques in Magnetic Resonance Imaging: an example in myocardial segmentation
CG Xanthis, K Haris, D Filos, AH Aletras
Computing in Cardiology 2019, 2019
2019
Measuring extracellular volume fraction by MRI: First verification of values given by clinical sequences
D Nordlund, C Xanthis, S Bidhult, R Jablonowski, M Kanski, S Kopic, ...
Magnetic Resonance in Medicine, 2019
2019
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Artiklar 1–20